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2305.14486
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Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud
23 May 2023
Jadie Adams
Shireen Y. Elhabian
3DPC
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Papers citing
"Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud"
14 / 14 papers shown
Title
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation
Lei Cheng
Mahdi Saleh
Qing Cheng
Lu Sang
Hongli Xu
Daniel Cremers
F. Tombari
23
0
0
06 Apr 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
64
0
0
11 Feb 2025
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
Krithika S. Iyer
Shireen Y. Elhabian
36
0
0
02 Jul 2024
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
Jadie Adams
Shireen Y. Elhabian
68
0
0
15 May 2024
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
Jadie Adams
Krithika S. Iyer
Shireen Y. Elhabian
27
2
0
15 May 2024
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
Krithika S. Iyer
Jadie Adams
Shireen Y. Elhabian
MedIm
39
4
0
27 Apr 2024
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
M. Beetz
Abhirup Banerjee
Vicente Grau
3DPC
36
5
0
20 Jul 2023
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach
Jadie Adams
Shireen Y. Elhabian
92
19
0
13 May 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
3DPC
39
32
0
16 Oct 2021
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia
Shireen Y. Elhabian
Jadie Adams
Wenzheng Tao
L. Kavan
R. Whitaker
MedIm
95
24
0
14 Oct 2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
Tomas Jakab
Richard Tucker
A. Makadia
Jiajun Wu
Noah Snavely
Angjoo Kanazawa
3DPC
66
56
0
22 Apr 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
112
66
0
31 Dec 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu
Xiaoming Liu
3DPC
45
36
0
23 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
1